New robust stability criteria for uncertain neural networks with interval time-varying delays

Jiqing Qiu, Hongjiu Yang, Jinhui Zhang and Zhifeng Gao

Chaos, Solitons & Fractals, 2009, vol. 39, issue 2, 579-585

Abstract: In this paper, problem of robust stability of uncertain neural networks with interval time-varying delays has been investigated. The delay factor is assumed to be time-varying and belongs to a given interval, which means that the lower and upper bounds of the interval time-varying delays are available. Based on the Lyapunov–Krasovskii functional approach, a new delay-dependent stability criteria is presented in terms of linear matrix inequalities (LMIs). Two numerical examples are given to illustrate the effectiveness of the proposed method.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:39:y:2009:i:2:p:579-585

DOI: 10.1016/j.chaos.2007.01.087

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